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SCENARIO 16-14 a Contractor Developed a Multiplicative Time-Series Model to Forecast

Question 6

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SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . where SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.
-Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result?


A) The quarterly growth rate in the number of contracts is significantly different from 0% ( SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . = 0.05) .
B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . = 0.05) .
C) The quarterly growth rate in the number of contracts is significantly different from 100% ( SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . = 0.05) .
D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( SCENARIO 16-14 A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2011 to 2013.The following is the resulting regression equation: where is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. -Referring to Scenario 16-14, in testing the coefficient of X in the regression equation (0.117) the results were a t-statistic of 9.08 and an associated p-value of 0.0000.Which of the following is the best interpretation of this result? A) The quarterly growth rate in the number of contracts is significantly different from 0% ( = 0.05) . B) The quarterly growth rate in the number of contracts is not significantly different from 0% ( = 0.05) . C) The quarterly growth rate in the number of contracts is significantly different from 100% ( = 0.05) . D) The quarterly growth rate in the number of contracts is not significantly different from 100% ( = 0.05) . = 0.05) .

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